Forest Biometrics & Geomatics
From tree to globe—quantitative solutions in forest ecosystem science.
Contact one of our faculty for more information on current opportunities for graduate study. Research areas include:
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Geospatial and environmental analysis
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Ground-based LiDAR applications in forest modeling and assessment
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Evaluation of forest ecosystem models for Southern Appalachian forests
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Sampling and inventory methods for modeling
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Bayesian methods for forest inventory and modeling
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Decision support for loblolly pine carbon management
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Error analysis in geographic information systems
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GPS and remote sensing applications in forest inventory and carbon management
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Modeling forest yields and stand structural patterns
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Carbon modeling including production and decay of coarse woody debris in managed loblolly pine forests
Graduate Faculty
- Harold E. Burkhart
- John A. McGee
- Richard G. Oderwald
- Stephen P. Prisley
- Philip J. Radtke
- Marion R. Reynolds, Jr. (Joint with Statistics—Department of Statistics)
- Randolph H. Wynne
Program Faculty
Selected Biometric and Geomatics Graduate Classes
Affiliated Programs and Centers
- Center for Environmental Applications of Remote Sensing (CEARS)
- Loblolly Pine Growth & Yield Research Cooperative
- Center for Geospatial Information Technology (CGIT)

